科技通报
科技通報
과기통보
Bulletin of Science and Technology
2015年
10期
127-129
,共3页
PLC%过程控制%模糊扰动
PLC%過程控製%模糊擾動
PLC%과정공제%모호우동
PLC%process control%fuzzy disturbance
工业加工控制过程中,因为控制环境和控制参数非线性干扰作用的影响,导致控制死区,出现控制失稳问题发生.传统方法采用PID变结构控制算法进行工业加工的过程控制,控制性能受到环境干扰影响较大,控制死区幅度较大.提出一种改进的基于PLC和模糊扰动的加工过程防死区控制方法,基于PLC逻辑控制芯片,设计工业加工控制硬件系统,设计控制滑模面,构建控制环境和控制参数非线性干扰的微分方程,采用正态相关状态特征提取方法,基于PLC可编程逻辑模糊扰动控制,实现加工过程的扰动对数补偿防死区控制算法改进.仿真结果表明,采用该控制系统,具有较大的线性控制区间,减少过程扰动和死区幅度,提高了工业加工过程的稳定性和鲁棒性.
工業加工控製過程中,因為控製環境和控製參數非線性榦擾作用的影響,導緻控製死區,齣現控製失穩問題髮生.傳統方法採用PID變結構控製算法進行工業加工的過程控製,控製性能受到環境榦擾影響較大,控製死區幅度較大.提齣一種改進的基于PLC和模糊擾動的加工過程防死區控製方法,基于PLC邏輯控製芯片,設計工業加工控製硬件繫統,設計控製滑模麵,構建控製環境和控製參數非線性榦擾的微分方程,採用正態相關狀態特徵提取方法,基于PLC可編程邏輯模糊擾動控製,實現加工過程的擾動對數補償防死區控製算法改進.倣真結果錶明,採用該控製繫統,具有較大的線性控製區間,減少過程擾動和死區幅度,提高瞭工業加工過程的穩定性和魯棒性.
공업가공공제과정중,인위공제배경화공제삼수비선성간우작용적영향,도치공제사구,출현공제실은문제발생.전통방법채용PID변결구공제산법진행공업가공적과정공제,공제성능수도배경간우영향교대,공제사구폭도교대.제출일충개진적기우PLC화모호우동적가공과정방사구공제방법,기우PLC라집공제심편,설계공업가공공제경건계통,설계공제활모면,구건공제배경화공제삼수비선성간우적미분방정,채용정태상관상태특정제취방법,기우PLC가편정라집모호우동공제,실현가공과정적우동대수보상방사구공제산법개진.방진결과표명,채용해공제계통,구유교대적선성공제구간,감소과정우동화사구폭도,제고료공업가공과정적은정성화로봉성.
Industrial process control process is studied, because of the impact of the control environment and control param-eters of nonlinear interference effects, leading to control dead zone, appear unstable control problem occurred. The process of traditional methods using PID variable structure control algorithm for industrial process control, the control performance of environment interference of large dead time control effect, it has large amplitude. A control method of PLC and fuzzy dis-turbance process protection dead zone is proposed based on improved method, based on PLC logic control chip, design of industrial process control system hardware design, control of sliding surface, constructing differential control equation of nonlinear interference environment and control parameters, using the normal status related feature extraction method, PLC programmable logic fuzzy disturbance control based on the perturbation, achieve the process of log compensation anti dead improved control algorithm. The simulation results show that, by using this control system, with a larger linear control inter-val, reduce the process disturbance and dead time range, can improve the stability and the robustness of the industrial pro-cess.